Practice for your next interview or presentation.

Pre-law

Moot court prep. Structure an oral argument and deliver it against an AI examiner that interrupts to cross-examine your reasoning in real time. You practice the Socratic method before the con law cold call, not during it.

Issue-spotting under pressure. It goes after the weak spots the way a moot panel does: the rule you stated loosely, the analogy that doesn't hold, the precedent that cuts both ways. You find those soft spots in rehearsal instead of in front of a judge.

Admissions and 1L interviews. Rehearse "why law" and "argue the side you disagree with" prompts against an interviewer that asks the follow-up instead of nodding along.

Consulting

Case interview practice. Work through a market-sizing or profitability case out loud. The AI interviewer asks about your approach, assumptions, and calculations.

Defending the recommendation. The hard part of a McKinsey, BCG, or Bain final round isn't the framework; it's holding your "so what" when a partner leans on it. Practice stating a recommendation and standing behind it under pressure, instead of retreating into more analysis every time you are challenged.

Structure that survives interruption. Practice keeping your answer clear when the interviewer interrupts with a question.

Politics & policy

Town hall and press Q&A. Field hostile questions from an AI that will not accept a dodge; it reframes and asks again, the way a constituent or a moderator will when you try to pivot to your talking point.

Saying what is at stake. Argue a position in terms of how big, how likely, and how soon instead of adjectives, then hear how a judge would weigh it. Vague harms get caught fast, so you learn to put a number on the stakes before someone else does it for you.

On camera and on the page. Cut a position down to the claims it actually depends on before it becomes a clip or an op-ed, where one loose sentence becomes the quote people use against you.

Banking & PE

Investment thesis defense. State a thesis and defend it against an AI that questions the assumptions under the model: the growth rate, the multiple, the exit you have not really thought through.

IC and deal committee rehearsal. Present the recommendation and hold it while the committee cross-examines the valuation, the comps, and the downside case you would rather skip. The first time you say the numbers out loud should not be in the actual meeting.

Tech founders

Investor questions. Practice answering questions about your costs, competitors, and timing after presenting your pitch.

Board and investor updates. Defend a product decision or a missed number to a skeptical board before you defend it to the real one. You hear the sharpest version of the pushback while it is still cheap to be wrong.

Narrative under scrutiny. The model separates the parts of your story that are claims from the parts that are evidence, so you stop treating the two as the same thing.

Journalism & academia

Viva and thesis defense. Defend your argument and your methods against an examiner that asks the uncomfortable follow-up instead of accepting the first answer.

Interview questions and answers. Practice answering difficult interview questions or asking a source for clearer evidence and explanations.

Positions that survive scrutiny. Argue a contested take with real structure and concede only what is earned, so the published version holds up when editors and readers push back.

Oral exam prep

University and qualifying orals. Answer aloud against an examiner that probes the gap behind a memorized answer and asks the question that reveals whether you actually understand the material or just covered it.

Dissertation defense. Walk your contribution, your method, and your limitations under questioning before the committee does it for real, so the real defense is not the first time you have said it out loud.

Medical, dental, and board orals. Reason through a case out loud under time pressure, where the thing being graded is defending a judgment, not reciting a fact.